Structural Health Monitoring - An Advanced Signal Processing Perspective (Hardcover, 1st ed. 2017)

This book highlights the latest advances and trends in advanced signal processing (such as wavelet theory, time-frequency analysis, empirical mode decomposition, compressive sensing and sparse representation, and stochastic resonance) for structural health monitoring (SHM). Its primary focus is on the utilization of advanced signal processing techniques to help monitor the health status of critical structures and machines encountered in our daily lives: wind turbines, gas turbines, machine tools, etc. As such, it offers a key reference guide for researchers, graduate students, and industry professionals who work in the field of SHM.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Smart Sensors, Measurement and Instrumentation, 26
Release date:	May 2017
First published:	2017
Editors:	Ruqiang Yan • Xuefeng Chen • Subhas Chandra Mukhopadhyay
Dimensions:	235 x 155 x 22mm (L x W x T)
Format:	Hardcover
Pages:	375
Edition:	1st ed. 2017
ISBN-13:	978-3-319-56125-7
Categories:	Books > Science & Mathematics > Science: general issues > Scientific standards Books > Medicine > Nursing & ancillary services > Biomedical engineering > General Books > Professional & Technical > Mechanical engineering & materials > Production engineering > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
LSN:	3-319-56125-1
Barcode:	9783319561257

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